MRP approaches to PET image reconstruction
The purpose of this study is to introduce a novel empirical iterative algorithm for medical image reconstruction, under the short name MRP-ISWLS (Median Root Prior Image Space Weighted Least Squares). We use phantom data from a prototype smallanimal PET system and the methods presented here are applied to 2D sinograms. Further, we assess the performance of the new algorithm by comparing it to the simultaneous version of MRP-EM-ML (Median Root Prior Expectation Maximization Maximum Likelihood). Both algorithms are compared in terms of reconstruction time and CNRs (Contrast-to-Noise Ratios). As it turns out, MRP-ISWLS presents higher CNRs than MRP-EM-ML for objects of different size. Also MRP-ISWLS has better noise manipulation.
image reconstruction positron emission tomography (PET) small animal imaging penalized likelihood methods Bayesian techniques median root prior (MRP)
E. Karali D. Koutsouris
Department of Electrical and Computer Engineering National Technical University of Athens Athens, Greece
国际会议
上海
英文
399-403
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）